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Tables and Tensors — Apache Arrow v25.0.1

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Implementations
Python
API Reference
Tables and Tensors

Tables and Tensors#

Factory Functions#

`chunked_array`(arrays[,type])	Construct chunked array from list of array-like objects
`concat_arrays`(arrays,...)	Concatenate the given arrays.
`concat_tables`(tables,...)	Concatenate pyarrow.Table objects.
`record_batch`(data[,names,schema,metadata])	Create a pyarrow.RecordBatch from another Python data structure or sequence of arrays.
`concat_batches`(recordbatches,...)	Concatenate pyarrow.RecordBatch objects.
`table`(data[,names,schema,metadata,nthreads])	Create a pyarrow.Table from a Python data structure or sequence of arrays.

Classes#

`ChunkedArray`()	An array-like composed from a (possibly empty) collection of pyarrow.Arrays
`RecordBatch`	Batch of rows of columns of equal length
`Table`	A collection of top-level named, equal length Arrow arrays.
`TableGroupBy`(table,keys[,use_threads])	A grouping of columns in a table on which to perform aggregations.
`RecordBatchReader`()	Base class for reading stream of record batches.

Dataframe Interchange Protocol#

interchange.from_dataframe(df[,allow_copy])

Build a pa.Table from any DataFrame supporting the interchange protocol.

Tensors#

`Tensor`()	A n-dimensional array a.k.a Tensor.
`SparseCOOTensor`()	A sparse COO (COOrdinate) tensor.
`SparseCSRMatrix`()	A sparse CSR (Compressed Sparse Row) matrix.
`SparseCSCMatrix`()	A sparse CSC (Compressed Sparse Column) matrix.
`SparseCSFTensor`()	A sparse CSF tensor.

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